Software Development Engineer, ElastiCache

This is an opportunity to join one of AWSs most foundational and high-impact engineering teams the Data Plane team within Amazon ElastiCache and
MemoryDB. We own the core in-memory engine that powers millions of customer workloads: the data path durability layer replication protocol snapshot
system and advanced data structures. Our work sits at the intersection of systems programming database internals and performance engineering every microsecond matters when youre serving the worlds most latency-sensitive applications.

If youve ever found yourself deep in a conversation about write-ahead logs copy-on-write fork semantics lock-free data structures or memory allocator design and you want to apply those ideas to a system handling millions of operations per second at cloud scale this team is where you belong. We build the engine behind Amazon MemoryDB the only Valkey-compatible database that delivers in-memory speed with Multi-AZ durability. Were not just running an open-source cache; were extending Valkey with novel capabilities durable replication active-active conflict resolution full-text and vector search while maintaining the sub-millisecond latencies our customers depend on.

Our customers include Disney Snap Zoom Lyft Airbnb and hundreds of thousands of other AWS customers who trust us with their most performance-critical workloads. Youll work in C/C at the lowest levels of the stack solving problems in memory management I/O optimization replication protocols and distributed data systems all in production at massive scale.

Key job responsibilities
As a Software Development Engineer on the Data Plane team you will take on broad ownership of the core engine that sits at the heart of ElastiCache and
MemoryDB. Your core responsibilities will include:

- Designing and building the next-generation in-memory database engine delivering sub-millisecond latencies and millions of operations per second to the worlds most demanding applications.
- Developing large-scale distributed in-memory storage systems in C/C extending open-source Valkey with durability replication and advanced data structure capabilities.
- Building and optimizing the durability layer transaction logging snapshotting and replication protocols that enables MemoryDB to deliver in-memory speed with Multi-AZ data protection.
- Designing and implementing advanced data structures and query capabilities including vector search and full-text search to support emerging workloads like generative AI.
- Driving performance engineering at the systems level memory allocator tuning I/O path optimization and lock-free concurrency to push throughput and latency boundaries.
- Contributing to active-active replication and conflict resolution mechanisms that enable globally distributed low-latency data access.
- Mentoring and growing engineers on the team serving as a technical leader and role model for engineering best practices.
Managing individual project priorities deadlines and deliverables with a high degree of autonomy and accountability.


A day in the life
Day-to-day you can expect a dynamic mix of deep technical work and collaborative engineering. A typical week might look like:
- Writing and reviewing production-quality C/C code for the core in-memory engine optimizing data structures replication paths and the durability layer for maximum throughput at minimal latency.
- Participating in design reviews and architecture discussions where youll debate trade-offs around durability guarantees memory efficiency and replication consistency and then go build the solution.
- Collaborating with peer engineers to debug complex systems issues at the engine level - analyzing crash dumps tracing memory corruption and profiling hot paths under production-scale load.
- Working with upstream open-source Valkey contributors and internal partner teams to integrate new capabilities and ensure our extensions remain compatible and performant.
- Engaging with product teams to understand emerging customer needs from generative AI workloads requiring vector search to globally distributed applications needing active-active replication and translating those into engine capabilities.
- Mentoring engineers through code reviews design feedback and pairing sessions helping them grow their systems programming skills and engineering judgment.
- Contributing to the teams operational excellence by participating in on-call rotations and driving improvements to engine reliability and diagnostic tooling.

About the team
The Data Plane team is a passionate group of engineers who thrive on solving hard problems at the intersection of database internals and distributed systems. We are a collaborative intellectually curious team that values technical depth ownership and a bias for action. We own the core engine behind Amazon ElastiCache and MemoryDB the in-memory data path durability layer replication protocol and advanced query capabilities that hundreds of thousands of AWS customers depend on for their most latency-sensitive workloads.

Our customers include some of the worlds fastest-growing startups and largest enterprises all relying on our engine to deliver sub-millisecond performance at scale. We are deeply invested in open-source software and actively contribute to the Valkey community. As a team we believe in growing together senior engineers are directly involved in mentoring and developing engineers at all levels and we take pride in building a culture of technical excellence and continuous learning.

About AWS

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- 1 years of software development engineer or related occupational experience
- 1 years of designing and developing large-scale multi-tiered multi-threaded embedded or distributed software applications tools systems and services using: C# C Java or Perl experience
- 1 years of Object Oriented Design experience
- Bachelors degree or foreign equivalent in Computer Science Engineering Mathematics or a related field
- Experience programming with at least one software programming language

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company Amazons package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon offers comprehensive benefits including health insurance (medical dental vision prescription basic life & AD&D insurance) Registered Retirement Savings Plan (RRSP) Deferred Profit Sharing Plan (DPSP) paid time off and other resources to improve health and well-being. We thank all applicants for their interest however only those interviewed will be advised as to hiring status.

CAN BC Vancouver - 114800.00 - 191800.00 CAD annually